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Performance of alternative COPD case-finding tools: a systematic review and meta-analysis

Elena Schnieders, Elyesa Ünal, Volker Winkler, Peter Dambach, Valérie R. Louis, Olaf Horstick, Florian Neuhann, Andreas Deckert
European Respiratory Review 2021 30: 200350; DOI: 10.1183/16000617.0350-2020
Elena Schnieders
1Research to Practice Group, HIGH – Heidelberg Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany
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  • ORCID record for Elena Schnieders
  • For correspondence: e.schnieders@stud.uni-heidelberg.de
Elyesa Ünal
1Research to Practice Group, HIGH – Heidelberg Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany
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Volker Winkler
1Research to Practice Group, HIGH – Heidelberg Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany
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  • ORCID record for Volker Winkler
Peter Dambach
1Research to Practice Group, HIGH – Heidelberg Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany
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Valérie R. Louis
1Research to Practice Group, HIGH – Heidelberg Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany
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  • ORCID record for Valérie R. Louis
Olaf Horstick
1Research to Practice Group, HIGH – Heidelberg Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany
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Florian Neuhann
1Research to Practice Group, HIGH – Heidelberg Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany
2School of Medicine and Clinical Sciences, Levy Mwanawasa Medical University, Lusaka, Zambia
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Andreas Deckert
1Research to Practice Group, HIGH – Heidelberg Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany
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Figures

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  • FIGURE 1
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    FIGURE 1

    Systematic review: forest plot of area under the curve (AUC) values with 95% confidence intervals (CIs) of hand devices (mainly the micro-spirometers COPD-6 and Piko-6), questionnaires, or both hand devices and questionnaires. The COPD-6 score was based on micro-spirometry results. PEF: peak expiratory flow; CDQ: COPD diagnostic questionnaire; COPD-PS: COPD population screener; VAFOSQ: veterans’ airflow obstruction screening questionnaire; PUMA: PUMA study questionnaire; LFQ: lung function questionnaire; 11-Q: 11-Q COPD screening questionnaire; SCSQ: Salzburg COPD-screening questionnaire; EGARPOC: EGARPOC study questionnaire; RHSQ: respiratory health screening questionnaire.

  • FIGURE 2
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    FIGURE 2

    Descriptive analysis and meta-analysis: scatterplot of sensitivities and specificities, as well as summary receiver operating characteristic (ROC) curves (including prediction region) for a) the COPD diagnostic questionnaire; b) the COPD population screener questionnaire; and c) micro-spirometers. AUC: area under the curve; CI: confidence interval; NA: not available.

Tables

  • Figures
  • Supplementary Materials
  • TABLE 1

    Hand devices

    First author [ref.]YearCountrySample sizeSample populationDeviceCut-offSensitivity %Specificity %AUC
    • Ronaldson [30]

    2018UK216≥35 years of age and current smokers
    • Wheezometer

    • Wheezometer score ≥3

    • 4.4

    • 93.6

    • 0.49

    • PEF

    • PEF <80%

    • 86.1

    67.50.77
    • Micro-spirometer

    • FEV1 <80% pred, FVC <80% pred, or FEV1/FVC <70% pred

    • 88.9

    57.90.73
    Fujita [38]2020Japan1001No previous diagnosis of asthma, TB and lung cancerCOPD-6 score#COPD-6 score ≥3085.774.60.82
    Dickens [24]2020UK544≥40 years of age with respiratory symptoms or clinically diagnosed COPDCOPD-6FEV1/FEV6 ≤0.7782.885NA
    Labor [33]2016Croatia22740–60 years of age and ≥20 pack-years, with no previous diagnosis of COPDCOPD-6FEV1/FEV6 ≤0.7871890.83
    Kim [25]2016South Korea190≥40 years of age and >10 pack-years, with no previous COPD diagnosisCOPD-6FEV1/FEV6 ≤0.7772.777.10.76
    Llordes [47]2017Spain407≥40 years of age and ≥1 pack-year, with no previous diagnosis of COPDCOPD-6FEV1/FEV6 ≤0.7887.972.30.87
    Represas-Represas [42]2016Spain362≥40 years of age and >10 pack-years, with respiratory symptoms and no previous respiratory diagnosisCOPD-6FEV1/FEV6 ≤0.7891.252.80.8
    Thorn [39]2012Sweden30540–85 years of age and >15 pack-yearsCOPD-6FEV1/FEV6 ≤0.7379.280.30.84
    Miravitlles [45]2012Spain173Controls: ≥35 years of age and no previous diagnosis of COPD Cases: COPD stages I and IICOPD-6FEV1/FEV6 ≤0.7584.6850.85
    Hidalgo Sierra [44]2018Spain155≥40 years of age and ≥10 pack-years, with respiratory symptoms and no previous diagnosis of COPDPiko-6FEV1/FEV6 ≤0.6910097.2NA
    Van den Bemt [34]2014The Netherlands104≥50 years of age and ≥1 pack-year, with respiratory symptoms and no previous diagnosis of COPDPiko-6FEV1/FEV6 ≤0.7293.2850.94
    Frith [43]2011Australia204≥50 years of age, smoker/ex-smoker and no previous diagnosis of obstructive lung diseasePiko-6FEV1/FEV6 ≤0.7481710.85
    Sichletidis [26]2011Greece1078≥40 years of age and no previous diagnosis of COPDPiko-6Post-bronchodilator FEV1/FEV6 ≤0.698095NA

    AUC: area under the curve; PEF: peak expiratory flow; FEV1: forced expiratory volume in 1 s; FEV6: forced expiratory volume in 6 s; FVC: forced vital capacity; TB: tuberculosis; NA: not available. #: COPD-6 score was based on micro-spirometry results.

    • TABLE 2

      Questionnaires

      First author [ref.]YearCountrySample sizeSample populationQuestionnaireCut-off#Sensitivity %Specificity %AUC
      Lopez Varela [37]2019Mexico974≥40 years of age and ≥10 pack-years, or ≥50 pipes per year or ≥50 cigars per year and/or exposure to biomass smokePUMA≥585.437.60.70
      Fujita [38]2020Japan1001No previous diagnosis of asthma, TB and lung cancerChanged CDQ≥1881.659.70.73
      Ronaldson [30]2018UK216≥35 years of age and current smokersCOPD-PSStandard scoring criteria53.378.60.66
      CDQStandard scoring criteria81.552.30.67
      Spyratos [28]2017Greece3234>40 years of age and ≥10 pack-yearsCDQ≥1774720.80
      COPD-PS≥556900.79
      LFQ≤1879680.81
      Weiss [31]2017Austria775≥40 years of ageSCSQ≥267.158.90.66
      Demirci [40]2017Turkey35740–65 years of age, with no previous history of obstructive lung diseaseCAT≥1166.775.2NA
      Sogbetun [27]2016USA376No limitationVAFOSQ≥2566430.58
      255No limitation11-Q≥59490.61
      362No limitationCOPD-PS≥569460.62
      376No limitationLFQ≤1895140.66
      336No limitationPersonal level screener COPDQuestionnaire algorithm50690.59
      Lopez Varela [32]2016Argentina, Colombia, Venezuela, Uruguay1540≥40 years of age and ≥10 pack-years, or ≥50 pipes per year or ≥50 cigars per year and/or exposure toPUMA≥25 (weighted)76.369.30.79
      biomass smoke≥5 (simple)74.264.80.76
      Sogbetun [46]2016USA278All patients with a previously scheduled office visitVAFOSQ (retrospective validation)≥2559.969.80.72
      Llordes [47]2017Spain407≥40 years of age and ≥1 pack-year, with noEGARPOC1372.958.30.68
      previous diagnosis ofRHSQ>1773.8560.72
      COPDCOPD-PS≥480.447.70.65
      Two screening questionsBoth positive59.851.70.56
      Stanley [29]2014Australia105440–85 years of age and former or current smokers, with no previous diagnosisCDQ≥16.579.746.80.71
      of COPD≥19.56370.1
      Cui [35]2012China150≥40 years of age; COPD patients (n=100) and non-COPD patients (n=50)Discriminant function modelNA8982NA
      Miravitlles [45]2012Spain173Controls: ≥35 years of age and no previous diagnosis of COPD Cases: COPDCOPD-PS (Spanish)≥493.664.80.79
      stages I and II≥565.488
      Sichletidis [26]2011Greece1078≥40 years of age and no previous diagnosis of COPDCDQ≥178095NA
      Frith [43]2011Australia204≥50 years of age, smoker/ex-smoker and no previous diagnosis of obstructiveCDQ≥16.591370.72
      lung disease≥19.57162
      Kotz [36]2008The Netherlands67640–70 years of age and >10 pack-years, with respiratory symptoms and no previousCDQ≥16.589.224.40.65
      respiratory diagnosis≥19.565.854.0
      Price [41]2006UK, USA246≥40 years of age and smokers, with no previous respiratoryCDQ≥16.558.7770.82
      diagnosis≥19.580.457.5

      AUC: area under the curve; TB: tuberculosis; PUMA: PUMA study questionnaire; COPD-PS: COPD population screener; CDQ: COPD diagnostic questionnaire; LFQ: lung function questionnaire; SCSQ: Salzburg COPD-screening questionnaire; CAT: COPD assessment test; VAFOSQ: veterans airflow obstruction screening questionnaire; 11-Q: 11-Q COPD screening questionnaire; EGARPOC: EGARPOC study questionnaire; RHSQ: respiratory health screening questionnaire; NA: not available. #: cut-off based on questionnaire score.

      • TABLE 3

        Questionnaires and hand devices

        First author [ref.]YearCountrySample sizeSample populationCombinationCut-offSensitivity %Specificity %AUC
        Fujita [38]2020Japan1001No previous diagnosis of asthma, TB and lung cancerChanged CDQ and COPD-6 scoreJoined score ≥2787.873.10.87
        Sichletidis[26]2011Greece1078≥40 years of age and no previous diagnosis of COPDCDQ and Piko-6Questionnaire score ≥17 and post-bronchodilator FEV1/FEV6 <0.77297NA

        AUC: area under the curve; TB: tuberculosis; CDQ: COPD diagnostic questionnaire; FEV1: forced expiratory volume in 1 s; FEV6: forced expiratory volume in 6 s; NA: not available.

        Supplementary Materials

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        • Tables
        • Supplementary Material

          Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author.

          Supplementary_tables_and figures ERR-0350-2020_Supplementary_tables_and_figures

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        Performance of alternative COPD case-finding tools: a systematic review and meta-analysis
        Elena Schnieders, Elyesa Ünal, Volker Winkler, Peter Dambach, Valérie R. Louis, Olaf Horstick, Florian Neuhann, Andreas Deckert
        European Respiratory Review Jun 2021, 30 (160) 200350; DOI: 10.1183/16000617.0350-2020

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        Performance of alternative COPD case-finding tools: a systematic review and meta-analysis
        Elena Schnieders, Elyesa Ünal, Volker Winkler, Peter Dambach, Valérie R. Louis, Olaf Horstick, Florian Neuhann, Andreas Deckert
        European Respiratory Review Jun 2021, 30 (160) 200350; DOI: 10.1183/16000617.0350-2020
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